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Data Engineer (f/m/d)Moonfare · Berlin, Germany
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Moonfare

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Data Engineer (f/m/d)

🗓️ Posted 2026-09-16 Berlin, Germany Hybrid ICT
💰 Salary Not shared 📊 Market 4,600 EUR–7,500 EUR/mo

About the Company

Moonfare delivers what few others can: the highly sought-after funds and hidden-gem investments that go beyond what most private banks offer. Every opportunity is subjected to a ruthless vetting process; the bar is unforgivingly high. The result Institutional-quality portfolios for investors who demand more. Our team combines finance veterans with talent from tech, consulting, law and industries you'd never expect. Headquartered in Berlin, we operate from eight offices across Europe, the US and Asia.

About the Role

We're looking for a Data Engineer who has hands-on experience integrating databases and external APIs, understands AWS infrastructure, and is comfortable working with tools like DBT to model and transform data. You'll help build and scale our data platform from ingestion through to the warehouse layer, powering AI Agents, BI, and business decisions across the organization.

Responsibilities

  • ● Build and maintain data pipelines from ingestion through to storage
  • ● Take end-to-end ownership of pipeline components
  • ● Model data using data lake and warehouse concepts, and contribute to performance improvements (partitioning, file formats, tuning)
  • ● Apply data governance and security practices in your work (least-privilege IAM, encryption, PII handling)
  • ● Support the team with data quality, coding consistency and data availability
  • ● Collaborate with analysts and stakeholders to translate requirements into working data solutions
  • ● Identify, formulate, and propose improvements to your own and your team's practices

Requirements

  • ● 2-4 years of hands-on experience building and maintaining data pipelines in production
  • ● Strong Python and advanced SQL skills
  • ● Basic Scala experience, or a willingness to pick it up
  • ● Familiarity with DBT (models, tests, documentation)
  • ● Solid working knowledge of AWS
  • ● Experience with relational databases and data warehouses
  • ● Confident in Git, CI/CD, and modern deployment practices
  • ● Practical experience with Docker
  • ● Solution-oriented, strong attention to detail, and open to feedback and mentorship

Nice to Have

  • ● Experience with Apache Spark or a similar distributed processing framework
  • ● Working knowledge of K8
  • ● Bash scripting
  • ● Flyway or similar SQL migration tools

Application Notes

If you feel you do not meet all of the requirements, we still encourage you to apply